A Percolation-Based Approach to Model DTN Congestion Control

Silva, Aloizio P.; Hilário, Marcelo R.; Hirata, Celso Massaki

doi:10.1109/mass.2015.91

Cited by 4 publications

(1 citation statement)

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“…The performance factors include the delivery ratio, delay, overhead ratio, and load ratio, where the overhead ratio is defined as the proportion between redundant packets forwarding times and the number of successfully delivered overhead represents the overhead ratio, is the total times of packet forwarding, is the number of successfully transmitted packets [35][36][37][38].…”

Section: Numerical Resultsmentioning

confidence: 99%

Congestion Control Mechanism for Intermittently Connected Wireless Network

Wang

Tang

Yan

2016

Mobile Information Systems

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Based on the “storing-carrying-forwarding” transmission manner, the packets are forwarded flexibly in Intermittently Connected Wireless Network (ICWN). However, due to its limited resources, ICWN can easily become congested as a large number of packets entering into it. In such situation, the network performance is seriously deteriorated. To solve this problem, we propose a congestion control mechanism that is based on the network state dynamic perception. Specifically, through estimating the congestion risk when a node receives packets, ICWN can reduce the probability of becoming congested. Moreover, due to ICWN’s network dynamics, we determine the congestion risk threshold by jointly taking into account the average packet size, average forwarding risk, and available buffer resources. Further, we also evaluate the service ability of a node in a distributed manner by integrating the recommendation information from other intermediate nodes. Additionally, a node is selected as a relay node according to both the congestion risk and service ability. Simulation results show that the network performance can be greatly optimized by reducing the overhead of packet forwarding.

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Section: Numerical Resultsmentioning

confidence: 99%